A Hybrid Neutrosophic and Machine Learning Model for Assessing Environmental Literacy in Biodiversity Conservation

A Hybrid Neutrosophic and Machine Learning Model for Assessing Environmental Literacy in Biodiversity Conservation

This study proposes the hybrid NEAML-BIOPASTAZA (Neutrosophic and Explainable Artificial Learning) model for Biodiversity and Legal-Ecological Assessment in Pastaza, which integrates multivariate statistical analysis, neutrosophic logic, and supervised machine learning to assess the relationship bet...

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Bibliographic Details
Main Authors: Pablo Santiago López Freire, Jocelyn Estefanía Morocho Hidalgo, Leslye Pamela Calderón, Andy Stiwer Jhostin Quiroz
Format: Article
Language:English
Published: University of New Mexico 2025-05-01
Series:Neutrosophic Sets and Systems
Subjects:
environmental literacy
biodiversity conservation
environmental legal framework
exploratory factor analysis
neutrosophic logic
supervised machine learning
Online Access:https://fs.unm.edu/NSS/62.%20Relationshipbetweenenvironmentaliteracy.pdf
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https://fs.unm.edu/NSS/62.%20Relationshipbetweenenvironmentaliteracy.pdf

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